Instructions to use kwoncho/KoFinBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kwoncho/KoFinBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kwoncho/KoFinBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kwoncho/KoFinBERT") model = AutoModelForSequenceClassification.from_pretrained("kwoncho/KoFinBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 846c1fd9b215db57a31ef70db8bd0ffd4c75c9040172fd26ee91482b28e5530a
- Size of remote file:
- 443 MB
- SHA256:
- a3b6fabeafe43963cff5d6be5ba5cf46c2f1a61f438e1f0b4e781fc106311298
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